Mitigating Burnout in an Oncological Unit : A Scoping Review

Show simple item record Alabi, Rasheed Omobolaji Hietanen, Päivi Elmusrati, Mohammed Youssef, Omar Almangush, Alhadi Mäkitie, Antti A. 2021-11-01T06:27:02Z 2021-11-01T06:27:02Z 2021-10-01
dc.identifier.citation Alabi , R O , Hietanen , P , Elmusrati , M , Youssef , O , Almangush , A & Mäkitie , A A 2021 , ' Mitigating Burnout in an Oncological Unit : A Scoping Review ' , Frontiers in public health , vol. 9 , 677915 .
dc.identifier.other PURE: 169958641
dc.identifier.other PURE UUID: 6e1b8256-4a14-42b4-8d10-f5078a3bc67a
dc.identifier.other Scopus: 85117150741
dc.identifier.other ORCID: /0000-0002-1827-9156/work/102449350
dc.identifier.other WOS: 000709064100001
dc.description Publisher Copyright: © Copyright © 2021 Alabi, Hietanen, Elmusrati, Youssef, Almangush and Mäkitie.
dc.description.abstract Objectives: The purpose of this study was to provide a scoping review on how to address and mitigate burnout in the profession of clinical oncology. Also, it examines how artificial intelligence (AI) can mitigate burnout in oncology. Methods: We searched Ovid Medline, PubMed, Scopus, and Web of Science, for articles that examine how to address burnout in oncology. Results: A total of 17 studies were found to examine how burnout in oncology can be mitigated. These interventions were either targeted at individuals (oncologists) or organizations where the oncologists work. The organizational interventions include educational (psychosocial and mindfulness-based course), art therapies and entertainment, team-based training, group meetings, motivational package and reward, effective leadership and policy change, and staff support. The individual interventions include equipping the oncologists with adequate training that include—communication skills, well-being and stress management, burnout education, financial independence, relaxation, self-efficacy, resilience, hobby adoption, and work-life balance for the oncologists. Similarly, AI is thought to be poised to offer the potential to mitigate burnout in oncology by enhancing the productivity and performance of the oncologists, reduce the workload and provide job satisfaction, and foster teamwork between the caregivers of patients with cancer. Discussion: Burnout is common among oncologists and can be elicited from different types of situations encountered in the process of caring for patients with cancer. Therefore, for these interventions to achieve the touted benefits, combinatorial strategies that combine other interventions may be viable for mitigating burnout in oncology. With the potential of AI to mitigate burnout, it is important for healthcare providers to facilitate its use in daily clinical practices. Conclusion: These combinatorial interventions can ensure job satisfaction, a supportive working environment, job retention for oncologists, and improved patient care. These interventions could be integrated systematically into routine cancer care for a positive impact on quality care, patient satisfaction, the overall success of the oncological ward, and the health organizations at large. en
dc.format.extent 14
dc.language.iso eng
dc.relation.ispartof Frontiers in public health
dc.rights cc_by
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject address
dc.subject artificial intelligence
dc.subject burnout—professional
dc.subject compassion fatigue
dc.subject job satisfaction
dc.subject mitigate
dc.subject oncology
dc.subject stress
dc.subject 3142 Public health care science, environmental and occupational health
dc.title Mitigating Burnout in an Oncological Unit : A Scoping Review en
dc.type Review Article
dc.contributor.organization Research Program in Systems Oncology
dc.contributor.organization University of Helsinki
dc.contributor.organization Faculty of Medicine
dc.contributor.organization Department of Pathology
dc.contributor.organization Medicum
dc.contributor.organization HUS Head and Neck Center
dc.contributor.organization Department of Ophthalmology and Otorhinolaryngology
dc.contributor.organization Clinicum
dc.description.reviewstatus Peer reviewed
dc.relation.issn 2296-2565
dc.rights.accesslevel openAccess
dc.type.version publishedVersion

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